An Integrated Biometric-Based Security Framework Using Wavelet-Domain HMM in Wireless Body Area Networks (WBAN)

Wang, Honggang; Fang, Hua; Xing, Liudong; Chen, Min

doi:10.1109/icc.2011.5962757

Cited by 55 publications

(28 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Only authorized person should access the information generated by nodes, therefore security should be implemented in all aforementioned parts of system. However, due to small size and their energy constrained nature security is very important in BSN as discussed in H. Wang, et.al [2]. Whereas, each human body has different behavior, that is why it will be difficult for attacker to hack the data.…”

Section: Fig 1 Body Sensor Network Architecture [9]mentioning

confidence: 97%

“…However, wavelet-domain HMM (Hidden Markov Model) based approach to secure BSN in H. Wang, et.al [2], increases the performance of network because it does not require synchronization and generation of external keys. When physiological and behavioral characteristics are used instead of external keys to implement security in WBAN is referred as biometric based authentication [10][11], they used human body features as generation of multiple keys for entity identification to implement security and privacy in WBAN during data transmission.…”

Section: Fig 1 Body Sensor Network Architecture [9]mentioning

confidence: 99%

See 1 more Smart Citation

A Novel Biometric Algorithm to Body Sensor Networks

Pirbhulal

Zhang

2015

Wearable Electronics Sensors

View full text Add to dashboard Cite

Abstract. In Body Sensor Networks (BSN) several sensor nodes are attached on, inside or around human body to monitor vital sign signals such as, Electrocardiogram (ECG), Electroencephalogram (EEG), Blood pressure etc. The information from each sensor node is very significant; therefore privacy and security is very important during data transmission in BSN. The conventional cryptographic approaches make use of cryptographic keys to achieve authentication, and use of these keys not only require high resource utilization and computation time, but also consume large amount of energy, power and memory in BSN. Therefore, it is necessary to develop power efficient and less computational complex authentication technique for BSN. In this paper we design a novel biometric algorithm which is based on biometric feature Electrocardiogram (ECG) and uses Data Authentication Function (DAF) for the security of BSN instead of utilizing traditional key generation procedure. Our proposed algorithm is compared with two cryptographic authentication techniques, Data Encryption Standard (DES) which is symmetric or private-key based encryption technique and RSA (Rivest Shamir Adleman) which is asymmetric or public-key based encryption scheme. Simulation is performed in MATLAB and results explain that our algorithm is efficient in terms of transmission time utilization and average remaining energy.

show abstract

Section: Fig 1 Body Sensor Network Architecture [9]mentioning

confidence: 97%

Section: Fig 1 Body Sensor Network Architecture [9]mentioning

confidence: 99%

A Novel Biometric Algorithm to Body Sensor Networks

Pirbhulal

Zhang

2015

Wearable Electronics Sensors

View full text Add to dashboard Cite

show abstract

“…Some researchers (see, e.g., [12], [13]) utilize physiological signals (e.g., heart rate interval, blood flow, and electrocardiography) obtained from the patient to enable biosensors to agree upon a symmetric (shared) cryptographic key in an authenticated manner. However, they demand that each biosensor can measure the same physiological parameter; this assumption is rather restrictive and makes this method not suitable for many MSN applications.…”

Section: Related Workmentioning

confidence: 99%

Security architecture for at-home medical care using Wireless Sensor Network

Soufiene

Trad

Youssef

2014

2014 International Wireless Communications and Mobile Computing Conference (IWCMC)

View full text Add to dashboard Cite

Distributed wireless sensor network technologies have become one of the major research areas in healthcare industries due to rapid maturity in improving the quality of life. Medical Wireless Sensor Network (MWSN) via continuous monitoring of vital health parameters over a long period of time can enable physicians to make more accurate diagnosis and provide better treatment. The MWSNs provide the options for flexibilities and cost saving to patients and healthcare industries. Medical data sensors on patients produce an increasingly large volume of increasingly diverse real-time data. The transmission of this data through hospital wireless networks becomes a crucial problem, because the health information of an individual is highly sensitive. It must be kept private and secure. In this paper, we propose a security model to protect the transfer of medical data in hospitals using MWSNs. We propose Compressed Sensing + Encryption as a strategy to achieve low-energy secure data transmission in sensor networks.

show abstract

“…Recently, many novel approaches [1], [5], [11], [14], [16], [18] have been proposed to address various security and privacy challenges in wireless body area sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Pattern Regulator: Protecting Temporal Usage Privacy for Wireless Body Area Sensor Networks

Yao

2013

2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops

View full text Add to dashboard Cite

In a wireless body area sensor network (WBAN), biosensors are implanted or worn on an individual to acquire medical data for a clinical diagnosis or physical monitoring. Traditionally, authentication and cryptography techniques are used to achieve the data confidentiality and privacy of a WBAN system. However, for WBAN systems, besides data itself, the pattern of data transmission may leak critical information about the user. For example, various medical sensors deliver data in different patterns and these patterns leak many critical facts, e.g., what sensors are used (which implies diseases the individual may have), and how frequent the sensor is sampling (which implies how urgent some abnormal observation is about a patient). In this work, to address this challenge, we design a regulator, which packs real data session into a type-independent transmission model at transmission layer. All valid data packets are equably sent at the frequency defined by the regulator and at the same length to clutter the inherent pace of valid data transmission and other parameters. We also propose a strategy PAS to minimize the overhead while preventing attackers from locating the patients. Our extensive experiments validate our regulator and PAS design.

show abstract

An Integrated Biometric-Based Security Framework Using Wavelet-Domain HMM in Wireless Body Area Networks (WBAN)

Cited by 55 publications

References 14 publications

A Novel Biometric Algorithm to Body Sensor Networks

A Novel Biometric Algorithm to Body Sensor Networks

Security architecture for at-home medical care using Wireless Sensor Network

Pattern Regulator: Protecting Temporal Usage Privacy for Wireless Body Area Sensor Networks

Contact Info

Product

Resources

About